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"""
# Copyright 2020 Adobe
# All Rights Reserved.
# NOTICE: Adobe permits you to use, modify, and distribute this file in
# accordance with the terms of the Adobe license agreement accompanying
# it.
"""
import os, glob, time, sys
import numpy as np
import cv2
from src.dataset.utils.Av2Flau_Convertor import Av2Flau_Convertor
import platform
if platform.release() == '4.4.0-83-generic':
src_dir = r'/mnt/ntfs/Dataset/TalkingToon/VoxCeleb2_imagetranslation/raw_fl3d'
mp4_dir = r'/mnt/ntfs/Dataset/VoxCeleb2/train_set/dev/mp4'
else:
src_dir = r'/mnt/nfs/work1/kalo/yangzhou/VoxCeleb2/train_set/dev/mp4'
out_dir = r'/mnt/nfs/scratch1/yangzhou/VoxCeleb2_compressed_imagetranslation'
def landmark_extraction(si, ei):
'''
:param si: start index
:param ei: end index
:return: save extracted landmarks to out_dir
'''
for folder_name in ['raw_wav', 'raw_fl3d', 'register_fl3d', 'dump', 'tmp_v', 'nn_result', 'ckpt', 'log']:
try:
os.mkdir(os.path.join(out_dir, folder_name))
except:
pass
if(not os.path.isfile(os.path.join(out_dir, 'filename_index_new.txt'))):
# generate all file list
clip_len_count = [0] * 500
id_clip_list = []
ids = glob.glob1(src_dir, '*')
ids.sort()
for id in ids:
print(id)
clips = glob.glob1(os.path.join(src_dir, id), '*')
clips.sort()
for clip in clips:
videos = glob.glob1(os.path.join(src_dir, id, clip), '*.mp4')
clip_len_count[len(videos)] +=1
# if(len(videos) > 10 and len(videos) < 30):
# id_clip_list.append((id, clip))
id_clip_list.append((id, clip))
print(clip_len_count)
print(len(id_clip_list))
files = []
for id, clip in id_clip_list:
cur_src_dir = os.path.join(src_dir, id, clip)
cur_files = glob.glob1(cur_src_dir, '*.mp4')
cur_files = np.random.permutation(cur_files)[0:1]
cur_files = ['{}_x_{}_x_{}'.format(id, clip, f) for f in cur_files]
files += cur_files
with open(os.path.join(out_dir, 'filename_index_new.txt'), 'w') as f:
for i, file in enumerate(files):
f.write('{} {}\n'.format(i, file))
else:
with open(os.path.join(out_dir, 'filename_index_new.txt'), 'r') as f:
lines = f.readlines()
print(sys.argv)
for line in lines[si:ei]:
st = time.time()
idx, file = int(line.split(' ')[0]), line.split(' ')[1][:-1]
# # check if exists
# video_dir = os.path.join(src_dir, file)
# if ('\\' in video_dir):
# video_name = video_dir.split('\\')[-1]
# else:
# video_name = video_dir.split('/')[-1]
# save_name = os.path.join(out_dir.replace('VoxCeleb2_compressed_imagetranslation',
# 'VoxCeleb2_imagetranslation'),
# 'raw_fl3d/fan_{:05d}_{}_3d.txt'.format(idx, video_name[:-4]))
# if(os.path.isfile(save_name)):
# print('==> File {} {} exist, just copy'.format(idx, video_name[:-4]))
# shutil.copy(save_name,
# os.path.join(out_dir, 'raw_fl3d/fan_{:05d}_{}_3d.txt'.format(idx, video_name[:-4])))
# continue
c = Av2Flau_Convertor(video_dir=os.path.join(src_dir, file),
out_dir=out_dir, idx=idx)
c.convert() # (save_audio=False, register=False, show=False)
print('Idx: {}, Processed time (min): {}'.format(idx, (time.time() - st) / 60.0))
def landmark_image_to_data(si, ei, show=False):
'''
DROPPED DUE TO LARGE DISK SPACE CONSUME
:param si:
:param ei:
:param show:
:return:
'''
# load landmark
print(src_dir)
fls_filenames = glob.glob1(src_dir, '*')
print(fls_filenames)
pf = {}
for i, fls_filename in enumerate(fls_filenames):
fls = np.loadtxt(os.path.join(src_dir, fls_filename))
print(i, '/', len(fls_filenames), fls.shape)
mp4_filename = fls_filename[:-4].split('_x_')
mp4_id = mp4_filename[0].split('_')[-1]
mp4_vname = mp4_filename[1]
mp4_vid = mp4_filename[2][:-3]
print(mp4_id, mp4_vname, mp4_vid)
video_dir = os.path.join(mp4_dir, mp4_id, mp4_vname, mp4_vid+'.mp4')
print('video_dir : ' + video_dir)
video = cv2.VideoCapture(video_dir)
if (video.isOpened() == False):
print('Unable to open video file')
exit(0)
if(show==True):
length = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
fps = video.get(cv2.CAP_PROP_FPS)
w = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))
h = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))
print('Process Video {}, len: {}, FPS: {:.2f}, W X H: {} x {}'.format(video_dir, length, fps, w, h))
writer = cv2.VideoWriter('a.mp4', cv2.VideoWriter_fourcc('M', 'J', 'P', 'G'), fps, (512, 256))
# skip first several frames due to landmark extraction
start_idx = fls[0, 0].astype(int)
print('Skip beginning # {} frames'.format(start_idx))
for _ in range(start_idx):
ret, img_video = video.read()
# save video and landmark in parallel
for j in range(fls.shape[0]):
img_fl = np.ones(shape=(224, 224, 3)) * 255
idx = fls[j, 0]
fl = fls[j, 1:].astype(int)
img_fl = vis_landmark_on_img(img_fl, np.reshape(fl, (68, 3)))
ret, img_video = video.read()
frame = np.concatenate((img_fl, img_video), axis=1)
frame = cv2.resize(frame, (512, 256))
writer.write(frame.astype(np.uint8))
video.release()
writer.release()
cv2.destroyAllWindows()
exit(0)
else:
# skip first several frames due to landmark extraction
start_idx = fls[0, 0].astype(int)
print('Skip beginning # {} frames'.format(start_idx))
for _ in range(start_idx):
ret, img_video = video.read()
# save video and landmark in parallel
frames = []
for j in range(fls.shape[0]):
img_fl = np.ones(shape=(224, 224, 3)) * 255
idx = fls[j, 0]
fl = fls[j, 1:].astype(int)
img_fl = vis_landmark_on_img(img_fl, np.reshape(fl, (68, 3)))
ret, img_video = video.read()
frame = np.concatenate((img_fl, img_video), axis=2)
frame = cv2.resize(frame, (256, 256)) # 256 x 256 6
frames.append(frame)
frames = np.stack(frames, axis=0).astype(int) # N x 256 x 256 x 6
pf[fls_filename] = frames
# save to pickle file
# with open('train_data.pickle', 'wb') as handle:
# pickle.dump(pf, handle)
def vis_landmark_on_img(img, shape, linewidth=2):
'''
Visualize landmark on images.
'''
def draw_curve(idx_list, color=(0, 255, 0), loop=False, lineWidth=linewidth):
for i in idx_list:
cv2.line(img, (shape[i, 0], shape[i, 1]), (shape[i + 1, 0], shape[i + 1, 1]), color, lineWidth)
if (loop):
cv2.line(img, (shape[idx_list[0], 0], shape[idx_list[0], 1]),
(shape[idx_list[-1] + 1, 0], shape[idx_list[-1] + 1, 1]), color, lineWidth)
draw_curve(list(range(0, 16)), color=(255, 144, 25)) # jaw
draw_curve(list(range(17, 21)), color=(50, 205, 50)) # eye brow
draw_curve(list(range(22, 26)), color=(50, 205, 50))
draw_curve(list(range(27, 35)), color=(208, 224, 63)) # nose
draw_curve(list(range(36, 41)), loop=True, color=(71, 99, 255)) # eyes
draw_curve(list(range(42, 47)), loop=True, color=(71, 99, 255))
draw_curve(list(range(48, 59)), loop=True, color=(238, 130, 238)) # mouth
draw_curve(list(range(60, 67)), loop=True, color=(238, 130, 238))
return img
def vis_landmark_on_img98(img, shape, linewidth=2):
'''
Visualize landmark on images.
'''
def draw_curve(idx_list, color=(0, 255, 0), loop=False, lineWidth=linewidth):
for i in idx_list:
cv2.line(img, (shape[i, 0], shape[i, 1]), (shape[i + 1, 0], shape[i + 1, 1]), color, lineWidth)
if (loop):
cv2.line(img, (shape[idx_list[0], 0], shape[idx_list[0], 1]),
(shape[idx_list[-1] + 1, 0], shape[idx_list[-1] + 1, 1]), color, lineWidth)
draw_curve(list(range(0, 32)), color=(255, 144, 25)) # jaw
draw_curve(list(range(33, 41)), color=(50, 205, 50), loop=True) # eye brow
draw_curve(list(range(42, 50)), color=(50, 205, 50), loop=True)
draw_curve(list(range(51, 59)), color=(208, 224, 63)) # nose
draw_curve(list(range(60, 67)), loop=True, color=(71, 99, 255)) # eyes
draw_curve(list(range(68, 75)), loop=True, color=(71, 99, 255))
draw_curve(list(range(76, 87)), loop=True, color=(238, 130, 238)) # mouth
draw_curve(list(range(88, 95)), loop=True, color=(238, 130, 238))
return img
def vis_landmark_on_img74(img, shape, linewidth=2):
'''
Visualize landmark on images.
'''
def draw_curve(idx_list, color=(0, 255, 0), loop=False, lineWidth=linewidth):
for i in idx_list:
cv2.line(img, (shape[i, 0], shape[i, 1]), (shape[i + 1, 0], shape[i + 1, 1]), color, lineWidth)
if (loop):
cv2.line(img, (shape[idx_list[0], 0], shape[idx_list[0], 1]),
(shape[idx_list[-1] + 1, 0], shape[idx_list[-1] + 1, 1]), color, lineWidth)
draw_curve(list(range(0, 16)), color=(255, 144, 25)) # jaw
draw_curve(list(range(17, 21)), color=(50, 205, 50), loop=False) # eye brow
draw_curve(list(range(22, 26)), color=(50, 205, 50), loop=False)
draw_curve(list(range(27, 35)), color=(208, 224, 63)) # nose
draw_curve(list(range(36, 43)), loop=True, color=(71, 99, 255)) # eyes
draw_curve(list(range(44, 51)), loop=True, color=(71, 99, 255))
draw_curve(list(range(52, 63)), loop=True, color=(238, 130, 238)) # mouth
draw_curve(list(range(64, 71)), loop=True, color=(238, 130, 238))
return img |